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dc.contributor.authorLin, Bertrand M. T.en_US
dc.contributor.authorHwang, F. J.en_US
dc.date.accessioned2014-12-08T15:37:35Z-
dc.date.available2014-12-08T15:37:35Z-
dc.date.issued2011-02-01en_US
dc.identifier.issn0020-0190en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.ipl.2010.11.021en_US
dc.identifier.urihttp://hdl.handle.net/11536/25837-
dc.description.abstractThis paper addresses the total completion time minimization in a two-stage differentiation flowshop where the sequences of jobs per type are predetermined. The two-stage differentiation flowshop consists of a stage-1 common machine and m stage-2 parallel dedicated machines. The goal is to determine an optimal interleaved processing sequence of all jobs at the first stage. We propose an O(m(2)Pi(m)(k=1)n(k)(m+1)) dynamic programming algorithm, where n(k) is the number of type-k jobs. The running time is polynomial when m is constant. (C) 2010 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectDesign of algorithmsen_US
dc.subjectSchedulingen_US
dc.subjectDifferentiation flowshopen_US
dc.subjectFixed sequencesen_US
dc.subjectDynamic programmingen_US
dc.titleTotal completion time minimization in a 2-stage differentiation flowshop with fixed sequences per job typeen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ipl.2010.11.021en_US
dc.identifier.journalINFORMATION PROCESSING LETTERSen_US
dc.citation.volume111en_US
dc.citation.issue5en_US
dc.citation.spage208en_US
dc.citation.epage212en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000287271000002-
dc.citation.woscount9-
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